
Yaguang Wei, PhD
About Me
Yaguang Wei, PhD, is an Assistant Professor in the Department of Environmental Medicine and a member of both the Institute for Exposomic Research and Tisch Cancer Institute at the Icahn School of Medicine at Mount Sinai. As an environmental epidmiologist, Dr. Wei has extensive experience in studying how air pollution and meteorological variables impact human health, with a special emphasis on cancer, cardiovascular and respiratory diseases, and all-cause mortality. Although not exclusively, much of his work is conducted within large administrative cohorts including SEER-Medicare, Medicare, Medicaid, and State Inpatient Databases.
Dr. Wei is also interested in methodological questions related to causal modeling, biostatistics, and data science in environmental epidemiology. This has involved the development of self-controlled study design, estimation of generalized propensity score for time-varying, continuous exposures, and exposure measurement error and its impacts on health effect estimates.
The third aspect of his work involves exposure data aggregation and dissemination. Dr. Wei has been aggregating spatio-temporal exposure estimates of air pollution and meteorological variables at various neighborhood scales for the whole US, and making these data publicly available to foster collective efforts to tackle complex environmental health challenges.
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About Me
Yaguang Wei, PhD, is an Assistant Professor in the Department of Environmental Medicine and a member of both the Institute for Exposomic Research and Tisch Cancer Institute at the Icahn School of Medicine at Mount Sinai. As an environmental epidmiologist, Dr. Wei has extensive experience in studying how air pollution and meteorological variables impact human health, with a special emphasis on cancer, cardiovascular and respiratory diseases, and all-cause mortality. Although not exclusively, much of his work is conducted within large administrative cohorts including SEER-Medicare, Medicare, Medicaid, and State Inpatient Databases.
Dr. Wei is also interested in methodological questions related to causal modeling, biostatistics, and data science in environmental epidemiology. This has involved the development of self-controlled study design, estimation of generalized propensity score for time-varying, continuous exposures, and exposure measurement error and its impacts on health effect estimates.
The third aspect of his work involves exposure data aggregation and dissemination. Dr. Wei has been aggregating spatio-temporal exposure estimates of air pollution and meteorological variables at various neighborhood scales for the whole US, and making these data publicly available to foster collective efforts to tackle complex environmental health challenges.